The Complete Python Course With 200+ Examples - Udemy

What you'll learn
Be able to program in Python professionally
Get hands-on experience and solve 300+ coding exercises.
Become proficient in Python
Get all the skills to demonstrate expertise in Python programming
Gain an in-depth understanding of basic & advanced Python
Set firm foundation in Python for the rest of your career
Requirements
No paid software required
Basic knowledge of Computer usage
Description
Welcome to Python Course by Studyopedia !!!In this Video Course, learn Python and its concept. We have covered Python Basics and Advanced concepts in this course. It consists of 25 sections, 83 lessons, and 200+ live running source codes (downloadable), including Functions, Classes & Objects, Dictionary, Lists, Sets, Tuples, etc, We have also covered Modules, including Maths, Statistics, Random, etc.Python is a powerful, interpreted, object-oriented programming language. It is used in many areas for development and is considered a perfect language for scripting. A high-level programming language developed by Guido van Rossum and first released in 1991. More than 75% of programmers considered Python as a must-have skill for Data Science.***Python Features***Open SourceHigh-level programming languageMultiple Programming-paradigms(object-oriented, functional programming, imperative, etc.)Interpreted languageDynamically TypedCross-PlatformLesser LOC (Line of codes)***Lesson Covered ***1. Python – Introduction2. Install Python on Windows3. Python – Variables4. Python – Scope of Variables5. Python – Tokens6. Python – Operators7. Python – Comments8. Python – Type Conversion9. Python – Get User Input10. Python – Decision-Making Statements11. Python – break and continue statements12. Python – Loops13. Python – Numbers14. Python – Strings15. Python – Functions16. Python – Lambda Functions17. Python – Classes and Objects18. Python – Tuples19. Python – Dictionary20. Python – Lists21. Python – Sets22. Python – Modules23. Python – math module24. Python – statistics module25. Python – Random Module *** Coding Examples Covered ***200+ Source Codes and demonstrated with live running and also provided for downloading.***Python Version***We have covered Python 3 and all the examples are being implemented on PyCharm, which is a free and open-source Python IDE.Let's start the journey!Hit the Enroll button!
Overview
Section 1: Python Introduction
Lecture 1 Python Introduction and Features
Section 2: Setup Python
Lecture 2 Install Python on Windows
Lecture 3 Install PyCharm
Lecture 4 Setup Python Interpreter in PyCharm
Lecture 5 Run first Python Project
Section 3: Python Variables
Lecture 6 What are Variables in Python?
Lecture 7 Coding Example - Variables
Section 4: Python - Scope of Variables
Lecture 8 What are Scope of Variables?
Lecture 9 Local Scope
Lecture 10 Global Scope
Lecture 11 Global Keyword: Change The value of a global variable
Section 5: Python - Tokens
Lecture 12 What are Tokens and its types?
Lecture 13 Keywords
Lecture 14 Identifiers
Lecture 15 Literals
Section 6: Python - Operators
Lecture 16 What are Operators?
Lecture 17 Arithmetic Operators
Lecture 18 Assignment Operators
Lecture 19 Logical Operators
Lecture 20 Identity Operators
Lecture 21 Membership Operators
Lecture 22 Bitwise Operators
Section 7: Python - Comments
Lecture 23 What are comments?
Lecture 24 Single-line and Multi-line comments
Section 8: Python - Type Conversion
Lecture 25 What is Type Conversion in Python?
Lecture 26 3 Coding Examples
Section 9: Python - Get User Input
Lecture 27 How to get user input (with example)
Section 10: Python - Decision Making Statements
Lecture 28 What are Decision Making Statements in Python?
Lecture 29 if statement
Lecture 30 if...else statement
Lecture 31 if...elif...else
Section 11: Python- break and continue statements
Lecture 32 break statement
Lecture 33 continue statement
Section 12: Python - Loops
Lecture 34 What are Loops?
Lecture 35 while loop
Lecture 36 for loop
Section 13: Python - Numbers
Lecture 37 What are Numeric Datatypes?
Lecture 38 Types - Integer, Long, Float, Complex Datatypes
Section 14: Python - Strings
Lecture 39 What are strings?
Lecture 40 Create a String in Python
Lecture 41 String Literals
Lecture 42 Slicing to access substrings
Lecture 43 Negative Indexing to access substrings
Lecture 44 Accessing a Character in Python Strings
Lecture 45 Concatenate Strings
Lecture 46 30+ Built-in String methods - Coding Examples
Section 15: Python - Functions
Lecture 47 What are Functions?
Lecture 48 Create and call a Function
Lecture 49 Create a Function with Parameters
Lecture 50 Function Arguments
Lecture 51 Recursion
Lecture 52 The Return Statement
Section 16: Python - Lambda Functions
Lecture 53 What are Lambda Functions?
Lecture 54 5 Coding Examples
Section 17: Python - Classes and Objects
Lecture 55 Classes & Objects - Introduction
Lecture 56 What is a class? How to create?
Lecture 57 What is an object?
Lecture 58 EXAMPLES - Classes and Objects
Lecture 59 _init_() Function
Section 18: Python - Tuples
Lecture 60 What are Tuples in Python?
Lecture 61 Difference between Tuples and Lists
Lecture 62 Create a Tuple in Python?
Lecture 63 Tuples - 16 Coding Examples
Section 19: Python - Dictionary
Lecture 64 What are Dictionaries in Python?
Lecture 65 How to Create a Dictionary
Lecture 66 19 Coding Examples - Dictionary
Section 20: Python - Lists
Lecture 67 What are Lists in Python?
Lecture 68 Difference between Tuples and Lists
Lecture 69 Create a list in Python
Lecture 70 22 Coding Examples - Lists
Lecture 71 Join Lists
Lecture 72 Multi-Dimensional Python List
Section 21: Python - Sets
Lecture 73 What are Sets in Python
Lecture 74 How to create a Set
Lecture 75 Sets - 15 Coding Example
Section 22: Python Modules
Lecture 76 What are Python Modules?
Lecture 77 How to Load a module in Python?
Section 23: Python - math module
Lecture 78 What is a math module & How to Import?
Lecture 79 10 Coding Examples - math module functions
Section 24: Python - statistics module
Lecture 80 What is a statistics module & How to Import?
Lecture 81 4 Coding Examples - statistics module functions
Section 25: Python - random module
Lecture 82 What is a Random module and How to import?
Lecture 83 4 Coding Examples - random module functions
Beginners Programmers - Those who want to Master Python Programming Skills,Python Programmers - Those who want to enhance their Python Programming Skills.,Students and Engineers - Those who are enrolling in Python as an academic course.,Professional Programmers - Those who want to switch to Python Programming.

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